CCTV systems are the most widely used traffic monitoring systems in the world. And yet, the analysis of hundreds of simultaneous streams is still being done by operators. The systems for video analytics that have been used in the past are considered as not reliable due to their high false alarm rate and rather low detection accuracy.

The main advantage of XAID system, comparing to traditional systems, is ability of learning (fine tuning) which is based on Artificial Intelligence and Machine Learning algorithms. Learning ability of XAID enables it to learn how to perform in real-life conditions and tune its performance as close as possible to theoretical. Traditional systems do not have learning capability.

Technical specifications of video analytics systems describe operation and performance of the system in theoretical (ideal) conditions. In real applications, cameras are usually not ideally positioned, illumination is not ideal and environmental influences are expected (shadows, obstacles, etc).

Because of these reasons, ideal performance of the system most likely cannot not be reached. Yet, X-AID™ will reach much better performance than traditional systems, due to its fine tuning ability.

Connection between AVID and safety management

With hundreds of cameras deployed throughout highways and tunnels delivering the immense amount of information simultaneously, it is impossible, even for a group of human operators, to monitor and evaluate the information effectively or efficiently. Reliable Video Automatic Incident Detection system is a must in such environments because it signiﬁcantly improves the efﬁciency of trafﬁc management systems. It automatically reports dangerous situations and irregular trafﬁc conditions, such as stopped vehicle, slow vehicle, driving in opposite direction, pedestrians in trafﬁc lanes, dropped cargo, ﬁre/smoke in a tunnel, or trafﬁc congestion.

Main constrains in Video Automatic Incident Detection industry is never ending trade-off between the need to have the least possible number of false alarms and still not to miss some of alarms that did occur on the road.

Today’s traditional AID systems have come to dead end with technology currently being used.

X-AID™, the new generation of AID has done a big step further and solves critical issues traditional AID systems can’t solve - unique and the most advanced algorithms based on cognitive recognition open path to the new reliability standard in video detection industry. Machine learning setup process enables fine tuning for the best fit to the particular scene and environmental condition, and experience-based improvement in reliability and accuracy.